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Staff Data Engineer Jobs in Washington (NOW HIRING)

Xometry

Staff Data Engineer

North Bethesda, MD · On-site

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Shift5

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and ...

Xometry

Staff Data Engineer

North Bethesda, MD

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Forterra

Staff Data Engineer

Arlington, VA · On-site +1

$145K - $175K/yr

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform.

Forterra

Staff Data Engineer

Arlington, VA

$145K - $175K/yr

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform.

Twenty

Staff Data Engineer - TS/SCI Cleared

Arlington, VA

$131K - $158K/yr

You'll partner closely with engineers and intelligence analysts to turn messy, high-volume operational data into reliable, well-modeled systems that drive real missions. You'll also lead technical ...

BigBear.ai

Data Engineer, Staff

Washington, DC · On-site

Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored ...

Bigbear.ai

Data Engineer, Staff

Washington, DC · On-site

Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored ...

Q2Impact

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

This contract supports the Joint Staff Strategy, Plans, and Policy Directorate (J5), through its ... The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building ...

THOMSON REUTERS

Data Engineer

Mclean, VA · Hybrid

$115K - $139K/yr

As the Data Engineer, you will also contribute to a variety of areas including ... Work directly with internal resources as well as customer technology staff to implement and support ...

Thomson Reuters

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

As the Data Engineer, you will also contribute to a variety of areas including: • Work directly with internal resources as well as customer technology staff to implement and support custom TRSS ...

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All JobsStaff Data Engineer JobsStaff Data Engineer Jobs in Washington

Staff Data Engineer information

See Washington salary details

$26.1K

$112.5K

$218K

How much do staff data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for staff data engineer in Washington is $112,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior staff data engineers or principal data engineers with extensive experience, advanced skills in big data tools, and leadership responsibilities can earn $500,000 or more annually. Such compensation often includes base salary, bonuses, and stock options, typically in large tech companies or organizations with high data maturity. Achieving this level usually requires years of experience, specialized expertise, and a strong track record of delivering complex data solutions.

What are the key skills and qualifications needed to thrive as a Staff Data Engineer, and why are they important?

To thrive as a Staff Data Engineer, you need advanced proficiency in data architecture, programming (such as Python, Java, or Scala), and experience with large-scale data systems, supported by a bachelor's or master's degree in computer science or a related field. Familiarity with big data tools (Hadoop, Spark), cloud platforms (AWS, GCP, or Azure), and relevant certifications like Google Professional Data Engineer or AWS Data Analytics are typically required. Strong problem-solving abilities, effective communication, and leadership skills help drive cross-functional projects and mentor junior engineers. These skills ensure the design, implementation, and maintenance of robust data infrastructure that supports organizational decision-making and scalability.

What are Staff Data Engineers?

Staff Data Engineers are senior-level professionals responsible for designing, building, and maintaining large-scale data processing systems and architectures. They often lead technical initiatives, set data engineering standards, and mentor other engineers within a company. Staff Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure reliable and efficient data pipelines. Their role requires deep expertise in data modeling, ETL processes, distributed systems, and cloud technologies. They play a crucial part in enabling organizations to make data-driven decisions at scale.

How does a Staff Data Engineer typically collaborate with cross-functional teams to deliver data-driven solutions?

As a Staff Data Engineer, you’ll frequently partner with data scientists, analysts, and product managers to understand project requirements and design scalable data systems. You'll be responsible for translating business needs into technical specifications, recommending best practices, and mentoring junior engineers. Collaboration often involves participating in sprint planning, code reviews, and architecture discussions to ensure data solutions are robust, secure, and aligned with organizational goals. Effective communication and a proactive approach to problem-solving are key to successful collaboration in this role.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or at large organizations. Entry-level or mid-level data engineers typically earn lower salaries, and reaching a $200,000 salary often requires several years of experience and specialized knowledge.

What engineers make $300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized industries, or those holding leadership responsibilities and advanced certifications.

What is the difference between Staff Data Engineer vs Data Engineer?

AspectStaff Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience with big data toolsBachelor's in CS or related field, some experience with data pipelines
Work EnvironmentSenior-level, cross-team collaboration, leadership rolesEntry to mid-level, focused on building data pipelines
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsStartups, small to medium enterprises, tech firms

The main difference is that a Staff Data Engineer typically has more experience, leadership responsibilities, and works on complex projects across teams, whereas a Data Engineer focuses on developing and maintaining data pipelines at an operational level.

What does a staff data engineer do?

A staff data engineer designs, develops, and maintains large-scale data systems and pipelines to support data analysis and business decision-making. They often lead data architecture initiatives, optimize data workflows, and collaborate with data scientists and engineers using tools like SQL, Spark, and cloud platforms. This role typically requires strong programming skills, experience with data modeling, and a deep understanding of data governance and security practices.
What are popular job titles related to Staff Data Engineer jobs in Washington? For Staff Data Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Staff Data Engineer jobs in Washington look for? The top searched job categories for Staff Data Engineer jobs in Washington are:
Staff Data Engineer jobs near you
Infographic showing various Staff Data Engineer job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,501 per year, or $54.1 per hour.
Staff Data Engineer

Staff Data Engineer

Xometry

North Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data architecture decisions, lead the design of scalable pipelines and platforms, and set the engineering bar for how we build and operate our data systems. You will partner closely with engineering, product, analytics, and machine learning teams to ensure our data infrastructure enables the business to move fast and make high-quality decisions. Everything you build will matter. A defining piece of this role is owning the data architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will be the data engineering lead for the digital thread that connects Xometry's platform to the partner ecosystem - Solid Edge, NX, Designcenter, and Teamcenter - building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The data plane you design is what makes the "science fiction speed" digital thread from ideation to delivery actually work.
How You'll Contribute:
  • Lead with technical depth - Design and drive the implementation of enterprise-scale data architecture and engineering solutions that span multiple systems and domains
  • Own the partner integration data plane - Architect and build the data layer of Xometry's embedded DFM AI + IQE integration with partner Teamcenter and Designcenter. Own the bidirectional pipelines, the joint data model for parts / BOMs / quotes / manufacturability signals, the low-latency signal path that delivers DFM and pricing feedback back into the designer's environment, and the governance, lineage, and audit posture required for a public-marketplace partner integration
  • Build for scale - Architect and optimize reliable batch and streaming data pipelines, data models, and platforms that handle Xometry's complex, high-volume data, including the real-time and event-driven flows that the partner integration depends on
  • Own the full lifecycle - Take end-to-end accountability for data engineering work from acquisition and transformation through to delivery, observability, and ongoing performance
  • Set the standard - Define and enforce best practices for data modeling, CI/CD, testing, and code quality across the data engineering function, including the contract-testing and schema-evolution discipline required when data crosses a partner boundary
  • Solve ambiguous problems - Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives
  • Develop multi-quarter roadmaps - Translate strategic priorities into concrete technical plans, working independently to determine methods and timelines
  • Collaborate broadly - Partner with engineers, product managers, data scientists, business stakeholders, and partner partner engineering teams to translate requirements into robust technical solutions
  • Mentor and elevate - Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team
  • Evaluate and adopt - Stay current with the data engineering ecosystem and make informed recommendations on tools, platforms, and architectural patterns

What You'll Bring to Xometry:
  • Bachelor's degree in a STEM field (or equivalent experience) plus at least 5 years of experience in a data engineering related role, with demonstrated ownership of complex, large-scale data systems
  • Deep expertise with cloud data warehouses - Snowflake strongly preferred - including optimization, best practices, and performance tuning
  • Expert-level SQL and strong Python proficiency; comfort picking up additional languages as needed
  • Hands-on experience building and optimizing data pipelines, architectures, and data sets using modern tooling (dbt, Airbyte, Airflow, or similar)
  • Demonstrated experience planning and implementing enterprise data architecture across multiple systems and domains, including integrations that cross organizational or partner boundaries
  • Working knowledge of queueing, batch and stream processing (e.g., Kafka, Spark, Kinesis), and highly scalable data stores (e.g., Apache Iceberg)
  • Experience writing database-heavy services or APIs and designing for testability and maintainability
  • Deep understanding of CI/CD principles and demonstrated experience with automated testing, contract testing, and schema-evolution discipline in data pipelines
  • Strong grasp of the AWS data ecosystem and cloud-native infrastructure
  • Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively at all levels of the organization - including with external partner engineering teams
  • Enterprise / partner integration experience - Prior work integrating with PLM, ERP, or large enterprise SaaS systems; partner Teamcenter experience (data model, BMIDE, Active Workspace APIs, AWC integrations) or comparable PLM exposure is a strong plus
  • Familiarity with data visualization tools (e.g., Looker, Streamlit)
  • Experience with data governance, data quality frameworks, and observability tooling - especially in contexts where data flows across partner or tenant boundaries
  • Exposure to modern lakehouse or data mesh architectural patterns
  • Experience with infrastructure as code (IaC) frameworks (e.g., Terraform, CloudFormation)
  • Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows that feed back into a customer-facing UI
  • Experience in manufacturing, supply chain, or marketplace environments is a plus - but curiosity and drive matter more

The estimated base salary range for new hires into this role is $180,000-$200,000.00 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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